Of investigation (Jongerius et al., 1972 Ismail, 1975 MurphyĮt al., 1977a,h). Since the introduction of Quantimet in the early 1970s, imageĪnalysis of soil pores and aggregates have been the main areas View, thus creating a new way of studying this feature. Matrix optical anisotropy was detected at 256 levels and plotted as a three-dimensional perspective Overall procedure allowed the combination of brightness and shape classifications. Reliability of the procedure was tested against point counting and was found to be successful. Thereby improving the classification on which a morphological analysis was conducted. Transformation, classification procedures, morphological analysis and modelling of bi-dimensionalĪs a special procedure, principal component images were included in the multilayer images,
#Vickrs photoplan mode norm series#
It was then possible to carry out a series ofĮxperiments including geometric corrections, creation of multilayer images, principal component Obtained from different horizons were digitized. Using different wavelengths and light polarizations, microscopic images of thin sections (ii) to identify some complex soil features. Soil thin sections in an attempt (i) to overcome some of the limitations of previous approaches and Sehastiano a1 Vesuvio,Napoli, Italy and *Department of Plant and Soil Science, University of'Ī number of image analysis techniques, largely drawn from remote sensing, have been applied to Recognition of soil micromorphological featuresĬ.N.R. The application of some image-analysis techniques to
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